{"id":2961965,"date":"2026-04-03T02:00:20","date_gmt":"2026-04-03T09:00:20","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2961965"},"modified":"2026-04-03T13:30:02","modified_gmt":"2026-04-03T20:30:02","slug":"whats-new-in-arcgis-api-for-python-2-4-3","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/whats-new-in-arcgis-api-for-python-2-4-3","title":{"rendered":"What\u2019s new in ArcGIS API for Python 2.4.3"},"author":333592,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37101],"tags":[152942,573561,27481],"industry":[],"product":[36841],"class_list":["post-2961965","blog","type-blog","status-publish","format-standard","hentry","category-announcements","tag-api-for-python","tag-arcgis-dashboards","tag-automation","product-api-python"],"acf":{"related_articles":"","short_description":"Check out the new features and upgrades in the ArcGIS API for Python 2.4.3 release, designed to expand automation across ArcGIS.","flexible_content":[{"acf_fc_layout":"content","content":"

The ArcGIS API for Python released version 2.4.3 on March 31, 2026. This version expands what you can automate across ArcGIS, with key upgrades for ArcGIS Dashboards, the addition of the arcgis.ai module, new capabilities for raster analytics, and additions to the mapping module. The release also improves how you build and move connected content by adding support to convert an item graph to a knowledge graph as well as introducing the ability to create surveys in Python.\u00a0 This update also adds new SDK guidance for interacting with the improved StoryMaps module of the API. You can read the full release notes here<\/a>, which includes a detailed list of bug fixes<\/a>.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"content","content":"

The arcgis.apps.dashboards <\/em>module<\/u><\/h3>\n

As part of the shift toward the newer dashboards experience, the classic ArcGIS Dashboards module has been removed from the code base and documentation. \u00a0If you have existing scripts that reference it, now is the time to plan a transition to the updated dashboards tooling.<\/p>\n

Cloning and migrating Dashboards is a lot smoother in 2.4.3 thanks to the new arcgis.apps.dashboards<\/em> module. The focus here is on managing item dependencies within Dashboard content so you can clone with more confidence, especially when your dashboards rely on layers, fields, and other referenced content that needs to come along for the ride.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2961968,"id":2961968,"title":"Dashboard_Manager","filename":"Dashboard_Manager.png","filesize":89846,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/whats-new-in-arcgis-api-for-python-2-4-3\/dashboard_manager","alt":"arcgis.apps.dashboards","author":"333592","description":"","caption":"Listing Dashboard Dependencies with arcgis.apps.dashboards","name":"dashboard_manager","status":"inherit","uploaded_to":2961965,"date":"2026-04-02 19:57:48","modified":"2026-04-02 20:02:41","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":264,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","medium-width":464,"medium-height":196,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","medium_large-width":624,"medium_large-height":264,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","large-width":624,"large-height":264,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","1536x1536-width":624,"1536x1536-height":264,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","2048x2048-width":624,"2048x2048-height":264,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","card_image-width":624,"card_image-height":264,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Dashboard_Manager.png","wide_image-width":624,"wide_image-height":264}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/developers.arcgis.com\/python\/latest\/api-reference\/arcgis.apps.dashboards.html"},{"acf_fc_layout":"content","content":"

The arcgis.ai<\/em> module brings extended capabilities<\/u><\/h3>\n

This release introduces arcgis.ai<\/em>, a new module that brings image and text analysis capabilities into a more dedicated home in the API. If you\u2019re experimenting with AI in notebooks or building repeatable pipelines, this module is designed to help you move from exploration to operational workflows.\u00a0 This new module expands the Python API\u2019s built-in AI capabilities by adding higher-level helpers for working with image and text analysis workflows and also introducing support for translation.\u00a0 For instance, developers can use the module to translate text, analyze imagery, summarize documents, and extract text, turning manual work into automated GIS workflows.\u00a0 <\/span><\/p>\n

The arcgis.ai<\/em> module currently depends on ArcGIS Online services that are still in beta and are expected to transition to general availability in a future release.\u00a0These services may also incur ArcGIS Online credit usage for transactions made through the arcgis.ai<\/i> module once they graduate from beta to general release in the future<\/span>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2961966,"id":2961966,"title":"Text_Analysis","filename":"Text_Analysis.png","filesize":62087,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/whats-new-in-arcgis-api-for-python-2-4-3\/text_analysis","alt":"Text Analysis","author":"333592","description":"","caption":"The arcgis.ai module","name":"text_analysis","status":"inherit","uploaded_to":2961965,"date":"2026-04-02 19:54:34","modified":"2026-04-02 19:55:03","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":382,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","medium-width":426,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","medium_large-width":624,"medium_large-height":382,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","large-width":624,"large-height":382,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","1536x1536-width":624,"1536x1536-height":382,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","2048x2048-width":624,"2048x2048-height":382,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","card_image-width":624,"card_image-height":382,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Text_Analysis.png","wide_image-width":624,"wide_image-height":382}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/developers.arcgis.com\/python\/latest\/api-reference\/arcgis.ai.html"},{"acf_fc_layout":"content","content":"

The Raster Function Landscape Continues to Mature<\/u><\/h3>\n

The release adds new capabilities in arcgis.raster.analytics <\/em>for imagery and raster-centric workflows, including tools that support spectral workflows and image anomaly detection. The Build Multidimensional Info function can create image cubes from collections that span multiple times, depths, or heights. These additions help broaden what you can detect, measure, and derive from imagery directly from Python within the automation space.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2961970,"id":2961970,"title":"Raster_Analytics","filename":"Raster_Analytics.png","filesize":50449,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/whats-new-in-arcgis-api-for-python-2-4-3\/raster_analytics","alt":"Raster Analytics","author":"333592","description":"","caption":"Building A Multidimensional Dataset","name":"raster_analytics","status":"inherit","uploaded_to":2961965,"date":"2026-04-02 20:10:01","modified":"2026-04-02 20:11:01","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":445,"height":229,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","medium-width":445,"medium-height":229,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","medium_large-width":445,"medium_large-height":229,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","large-width":445,"large-height":229,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","1536x1536-width":445,"1536x1536-height":229,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","2048x2048-width":445,"2048x2048-height":229,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","card_image-width":445,"card_image-height":229,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/04\/Raster_Analytics.png","wide_image-width":445,"wide_image-height":229}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/developers.arcgis.com\/python\/latest\/api-reference\/arcgis.raster.toc.html"},{"acf_fc_layout":"content","content":"

Administrative Workflow Improvements<\/u><\/h3>\n

There is also an effort to further administration workflows in this release. Updates under arcgis.gis.admin<\/em> add new classes and functions\u2014particularly for ArcGIS Enterprise on Kubernetes\u2014so common management tasks can be handled more directly in Python as your deployments scale and mature.<\/p>\n

SDK Documentation<\/u><\/h3>\n

Newly added guides<\/a> and samples<\/a> highlight ways to help you keep scripts and workflows aligned with upcoming changes and newer platform capabilities.\u00a0 These include expanded authentication guidance for developer-centric efforts via the DeveloperCredentialManager <\/em>class, refreshed admin and app-focused walkthroughs for ArcGIS applications, the new arcgis.apps.dashboards<\/em> experience, and ArcGIS StoryMaps (including cloning\/editing StoryMaps, plus introductions to Briefings and Collections).<\/p>\n

Supported platforms<\/strong><\/h3>\n